494 citations · 1.9k across the 37 of their papers we have counts for
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Deep learning for nano-photonic materials -- The solution to everything!?
Peter R. Wiecha
Deep learning is currently being hyped as an almost magical tool for solving all kinds of difficult problems that computers have not been able to solve in the past. Particularly in…
Directional silicon nano-antennas for quantum emitter control designed by evolutionary optimization
Romain Hernandez, Peter R. Wiecha, Jean-Marie Poumirol +5
We optimize silicon nano-antennas to enhance and steer the emission of local quantum sources. We combine global evolutionary optimization (EO) with frequency domain electrodynamica…
A newcomer's guide to deep learning for inverse design in nano-photonics
Abdourahman Khaireh-Walieh, Denis Langevin, Pauline Bennet +3
Nanophotonic devices manipulate light at sub-wavelength scales, enabling tasks such as light concentration, routing, and filtering. Designing these devices is a challenging task. T…